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Procurement Data

Pubblicato il 25-08-2026 - Experteer Italy in Roma

Procurement Data & Digital Excellence Specialist In this role you will build and steward procurement data foundations to enable real-time, data-driven operations and AI-enabled capabilities. You will partner with procurement, IT, data engineering, and business stakeholders to turn procurement data into a trusted strategic asset. You’ll deliver data products across SAP and connected platforms, supporting governance, analytics, and intelligent automation. This position is a key driver of operating excellence and data maturity within Procurement, with a focus on scalable, well-documented data architectures.
Act as the Procurement Data Steward for master and transactional procurement data and define governance standards and quality rules.
Monitor data quality KPIs, drive corrective actions with business and IT teams, and ensure data consistency across SAP and connected procurement apps.
Define and document data attributes, rules, and calculations for spend, suppliers, contracts, and KPIs; collaborate with IT and Data Platform teams to ensure secure, scalable data access.




Support integration of SAP data with enterprise data platforms and analytics environments; contribute to evolving procurement data architecture.
Perform source-to-target validation for mappings from SAP S/4HANA and other sources to SAP Business Data Cloud and Databricks, ensuring complete data flows.
Develop and maintain procurement dashboards, KPIs, and self-service reporting; translate business needs into actionable analytics.
Promote data-driven decision making and support category managers with insightful data analysis.
Ensure procurement data is AI-ready and support deployment of AI and Generative AI use cases; partner with Digital and AI teams to identify opportunities for automation and predictive analytics.
3–5 years in data, analytics, procurement operations or procurement technology roles
Hands-on SAP S/4HANA procurement data structures experience; exposure to SAP Business Data Cloud, Datasphe

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